defined the first version of the HBMS observation and support process (see the picture)

analyzed the relevant aspects of a human cognitive model (the HCM),

analyzed existing related ontologies

and defined the first version of the Human Cognitive Modeling Language HCM-L.

The applicability of the chosen approach was shown via a first prototype. Persons carrying out special activities of daily life were monitored in a test environment, and their observed individual behavior was logged textually. Based on the logs individual cognitive models were modeled with using a first HCM-L modeler prototype. Abstraction and integration was done manually by the modeler. The prototype also demonstrated simple options how HCM can be used to support the chosen activities of daily life in cases of need.

Stage 2: Observation and Reasoning

The next step of the project concentrated on

the interfacing between the HBMS system and automated activity recognition systems for learning about the behavior of a person in her/his activities of daily life,

the development of an intelligent situation interpretation and reasoning mechanisms for inferring the “best” next action to propose,

the development of a complete HBMS system beta version in line with the Model Centered Architecture paradigm